Mary Tai Knox
130 Hudson Hall
Box 90291
919.660.5253
k n o x m AT icsi DOT berkeley DOT edu

Office Location: FCIEMAS 3453

I am a research scientist in the SSPACISS laboratory at Duke University. Prior to Duke, I was a graduate student in electrical engineering at UC Berkeley, and worked at the International Computer Science Institute (ICSI). My PhD advisors were Nikki Mirghafori, Gerald Friedland, and Nelson Morgan.

projects
conference papers
  • M. Knox, N. Mirghafori, and G. Friedland, "Where did I go wrong?: Identifying toublesome segments for speaker diarization systems," in Interspeech, 2012. pdf
  • M. Knox and G. Friedland, "Multimodal Speaker Diarization Using Oriented Optical Flow Histograms," in Interspeech, 2010. pdf
  • M. Knox, N. Morgan, and N. Mirghafori, "Getting the Last Laugh: Automatic Laughter Segmentation in Meetings," in Interspeech, 2008. pdf
  • M. Knox and N. Mirghafori, "Automatic laughter detection using neural networks," in Interspeech, 2007. pdf
thesis
  • M. Knox, "Automatic laughter segmentation," Master's thesis, UC Berkeley, 2008. pdf
teaching
  • EE40/43 (Circuits): Fall 2005, Summer 2006
  • EE20 (Intro to Signals and Systems): Spring 2006, Fall 2006, Spring 2007
  • EE120 (Signals and Systems): Fall 2007
courses
Spring 2009
  • STAT244: Statistical Computing
Fall 2008
  • CS280: Computer Vision
    Course Project: Using Weighted Oriented Optical Flow Histograms for Multimodal Speaker Diarization pdf
Fall 2007
  • CS281A: Statistical Learning Theory
    Course Project: Automatic Laughter Segmentation pdf
Spring 2007
  • EE225D: Audio Signal Processing
    Course Project: Improving Frame Based Automatic Laughter Detection pdf
    Slides
Fall 2006
  • CS294: Practical Machine Learning
    Course Project: Automatic Laughter Detection pdf
  • MUS208A: Music Perception and Cognition
  • Course Project: Automatic Laughter Detection pdf
Spring 2006
  • EE225A: Digital Signal Processing
    Course Project: Nonlinear and Non-Gaussian Estimation with a focus on Particle Filters slides
  • EE225B: Digital Image Processing
    Course Project: Enhanced Qslim for 3D City Model Compression and Rendering pdf
  • EE298: DSP/COM Seminar
Fall 2005
  • EE226A: Random Processes
  • EE221A: Linear Systems
  • EE301: Teaching Techniques